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DataOps For Business Analytics Teams

DataKitchen

Data scientists derive insights from data while business analysts work closely with and tend to the data needs of business units. Business analysts sometimes perform data science, but usually, they integrate and visualize data and create reports and dashboards from data supplied by other groups.

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Exploring real-time streaming for generative AI Applications

AWS Big Data

Streaming data facilitates the constant flow of diverse and up-to-date information, enhancing the models’ ability to adapt and generate more accurate, contextually relevant outputs. OpenSearch Service offers visualization capabilities powered by OpenSearch Dashboards and Kibana (1.5

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Improve healthcare services through patient 360: A zero-ETL approach to enable near real-time data analytics

AWS Big Data

This is underpinned by building a complete patient profile that enables claim analysts to identify patterns, trends, potential gaps in care, and adherence to care plans. This means you no longer have to create an external schema in Amazon Redshift to use the data lake tables cataloged in the Data Catalog.

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Periscope Data Expands to Israel, Empowering Data Teams with Powerful Tools

Sisense

He talked through how the mind-blowing escalation of data and the drastic reduction in the cost of its storage has led to more complex, sophisticated uses of data and a shift in the way it’s managed and consumed. He concluded that data teams can influence the transformation of startups into unicorns.

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The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

As with any good consulting response, “it depends.” Do you recommend a consulting approach strategy rather than a CDO strategy? As such any Data and Analytics strategy needs to incorporate data sovereignty as per of its D&A governance program. Data lakes don’t offer this nor should they. It really does.